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Bhavya K. Daya

dblp:84/11470 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 5 · 3 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
4 papers
Memory systems · 40% Interconnection networks and networks-on-chip · 38% Cloud and datacenter computing · 11%

Topics — the 9 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip › network-on-chip design
bufferless noc
0.522017
Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017
Quest for high-performance bufferless NoCs with single-cycle express paths and self-learning throttling · DAC 2016
Memory systems
cache coherence
0.522017
Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017
SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering · ISCA 2014
Memory systems › cache coherence › cache coherence protocol
snoopy coherence
0.522017
Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017
SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering · ISCA 2014
Cloud and datacenter computing › quality of service
guaranteed service
0.312017
Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017
Processor architecture and microarchitecture
chip multiprocessor
0.212014
SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering · ISCA 2014
Interconnection networks and networks-on-chip › router architecture
router microarchitecture
0.112012
Approaching the theoretical limits of a mesh NoC with a 16-node chip prototype in 45nm SOI · DAC 2012
Hardware accelerators and domain-specific architectures › machine learning accelerator
neural network accelerator
0.112017
Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017
Memory systems › cache coherence
directory-based coherence
0.112014
SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering · ISCA 2014
Interconnection networks and networks-on-chip
multicast
0.012012
Approaching the theoretical limits of a mesh NoC with a 16-node chip prototype in 45nm SOI · DAC 2012

Methods — techniques the papers use, named apart from their topics

time-based sharing · 0.3single-cycle paths · 0.3throttling · 0.2prioritization · 0.2bypassing · 0.2
YearPublicationVenuePosition
2017 Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems
abstract
During the transition to packet-switched on-chip networks we lose the relative timing and ordering of requests, which are essential for shared memory coherency and the communication of spikes in hardware-based artificial neural networks. We present a bufferless network architecture that enforces a time-based sharing of multi-hop single-cycle paths, providing guaranteed services at low cost. We guarantee ordered delivery of requests, fixed network latency, and jitter-free neural spikes. In a 64-node network, we achieve a 84% lower latency and 7.5x higher throughput than SCORPIO. Full-system 36-core simulations show a 9% lower runtime than SCORPIO, with 39% lower power and 36% lower area.
Bhavya K. Daya, Li-Shiuan Peh, Anantha P. Chandrakasan
DAC1
2016 Quest for high-performance bufferless NoCs with single-cycle express paths and self-learning throttling
abstract
Router buffers are the main reason for the Network-on-Chip's (NoC) scalable bandwidth, but consumes significant area and power. The SCEPTER bufferless NoC sets up single-cycle virtual express paths dynamically, allowing packets to traverse non-minimal paths without latency penalty. Using prioritization, bypassing, and throttling mechanisms, we maximize opportunities to use these paths while pushing bandwidth. For 64 and 256 nodes, we achieve 62% lower latency, 1.3x higher throughput, and 35% lower starvation over a baseline bufferless NoC for synthetic traffic. Full-system 36-core simulations show a 19% lower runtime, on-par performance to a buffered network, with 36% lower area, 33% lower power.
Bhavya K. Daya, Li-Shiuan Peh, Anantha P. Chandrakasan
DAC1
2014 SCORPIO: 36-core shared memory processor demonstrating snoopy coherence on a mesh interconnect
abstract
This article consists of a collection of slides from the author's conference presentation on the special features, system design and architectures, processing capabilities, and targeted markets for Freescale Inc.'s SCORPIO, a 36-core shared memory processor.
Chia-Hsin Owen Chen, Sunghyun Park 0002, Suvinay Subramanian, Tushar Krishna, Bhavya K. Daya, Woo-Cheol Kwon, Brett Wilkerson, John Arends, Anantha P. Chandrakasan, Li-Shiuan Peh
Hot Chips Symposium5
2014 SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering
abstract
In the many-core era, scalable coherence and on-chip interconnects are crucial for shared memory processors. While snoopy coherence is common in small multicore systems, directory-based coherence is the de facto choice for scalability to many cores, as snoopy relies on ordered interconnects which do not scale. However, directory-based coherence does not scale beyond tens of cores due to excessive directory area overhead or inaccurate sharer tracking. Prior techniques supporting ordering on arbitrary unordered networks are impractical for full multicore chip designs.
Bhavya K. Daya, Chia-Hsin Owen Chen, Suvinay Subramanian, Woo-Cheol Kwon, Sunghyun Park 0002, Tushar Krishna, Jim Holt, Anantha P. Chandrakasan, Li-Shiuan Peh
ISCA1
2012 Approaching the theoretical limits of a mesh NoC with a 16-node chip prototype in 45nm SOI
abstract
In this paper, we present a case study of our chip prototype of a 16-node 4x4 mesh NoC fabricated in 45nm SOI CMOS that aims to simultaneously optimize energy-latency-throughput for unicasts, multicasts and broadcasts. We first define and analyze the theoretical limits of a mesh NoC in latency, throughput and energy, then describe how we approach these limits through a combination of microarchitecture and circuit techniques. Our 1.1V 1GHz NoC chip achieves 1-cycle router-and-link latency at each hop and energy-efficient router-level multicast support, delivering 892Gb/s (87.1% of the theoretical bandwidth limit) at 531.4mW for a mixed traffic of unicasts and broadcasts. Through this fabrication, we derive insights that help guide our research, and we believe, will also be useful to the NoC and multicore research community.
Sunghyun Park 0002, Tushar Krishna, Chia-Hsin Owen Chen, Bhavya K. Daya, Anantha P. Chandrakasan, Li-Shiuan Peh
DAC4